Robustness of Bayesian D-optimal design for the logistic mixed model against misspecification of autocorrelation

DOI10.1007/s00180-014-0512-3zbMath1306.65014OpenAlexW1997776207WikidataQ56491294 ScholiaQ56491294MaRDI QIDQ2259816

Martijn P. F. Berger, Frans E. S. Tan, Gerard J. P. van Breukelen, Haftom T. Abebe

Publication date: 5 March 2015

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-014-0512-3

zbMATH Keywords

robustnessautocorrelationBayesian D-optimal designslogistic mixed effects modelsubject-to-measurement cost ratio

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12)

Related Items (4)

Robust population designs for longitudinal linear regression model with a random intercept ⋮ Optimal designs for generalized linear mixed models based on the penalized quasi-likelihood method ⋮ Robust integer-valued designs for linear random intercept models ⋮ Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate

Uses Software

• Matlab

Cites Work

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